Triple
T15200118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reynard |
E363244
|
entity |
| Predicate | hasLanguageVariantName |
P15
|
FINISHED |
| Object | Renart |
E363244
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Renart | Statement: [Reynard, hasLanguageVariantName, Renart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renart Context triple: [Reynard, hasLanguageVariantName, Renart]
-
A.
Hamelin de Balun
Hamelin de Balun was an 11th-century Norman lord and marcher baron active in the Welsh borderlands.
-
B.
Reynard
chosen
Reynard is a traditional European folkloric fox character, especially prominent in medieval tales as a clever trickster figure.
-
C.
Pánfilo
Pánfilo is a masculine given name of Spanish origin, historically associated with the conquistador Pánfilo de Narváez.
-
D.
Rinuccio
Rinuccio is a young Florentine nobleman and romantic lead in Giacomo Puccini’s one-act opera "Gianni Schicchi."
-
E.
Francis the Talking Mule
Francis the Talking Mule is a comedic, wisecracking military mule character from a popular 1950s film series, known for speaking only to a befuddled soldier and getting him into and out of trouble.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.